Triple

T12154001
Position Surface form Disambiguated ID Type / Status
Subject Bwari Area Council E289528 entity
Predicate contains P35 FINISHED
Object Kuduru
Kuduru is a community located within the Bwari Area Council in Nigeria’s Federal Capital Territory.
E967005 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kuduru | Statement: [Bwari Area Council, contains, Kuduru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuduru
Context triple: [Bwari Area Council, contains, Kuduru]
  • A. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • B. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • C. Tanguturi
    Tanguturi is the given name of T. Prakasam, a prominent Indian freedom fighter and former Chief Minister of the Madras Presidency and Andhra State.
  • D. Chenchukuli
    Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
  • E. Kondhana
    Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kuduru
Triple: [Bwari Area Council, contains, Kuduru]
Generated description
Kuduru is a community located within the Bwari Area Council in Nigeria’s Federal Capital Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuduru
Target entity description: Kuduru is a community located within the Bwari Area Council in Nigeria’s Federal Capital Territory.
  • A. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • B. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • C. Tanguturi
    Tanguturi is the given name of T. Prakasam, a prominent Indian freedom fighter and former Chief Minister of the Madras Presidency and Andhra State.
  • D. Chenchukuli
    Chenchukuli is an alternative name for the Chenchu language, a Dravidian language spoken by the Chenchu people of India.
  • E. Kondhana
    Kondhana is the historic hill fortress near Pune, India, later known as Sinhagad, renowned for its strategic importance and role in Maratha history.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69aa2e88190aaa58468571d6dad completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.